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                <h3>课程简介</h3>
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                        <img src="../../img/course/cv-dl.jpeg" alt=""> <!--在这里添加一张课程主图-->
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                        <h2>A02.计算机视觉与深度学习</h2> <!--在这里修改课程描述-->
                        <h3>用深度学习的方法解决一些计算机视觉问题。</h3>
                        <p>什么是深度学习？什么是神经网络？神经网络都有哪些结构？能够完成计算机视觉中的什么任务？
                            本课程将从基本的线性分类器、全连接神经网络、卷积神经网络开始，步入深度学习的世界。
                            探究如何利用他们解决分类、分割、检测问题。
                            同时，也将讲到网络的可视化的方法。除了常用的判别模型，我们也会讲到生成模型，
                            比如VAE、GAN等的模型结构、论文解读和应用。</p>
                        <p><strong>本课程所涉及的教学内容与课件参考了CS231N，感谢CS231N课程团队在课程建设方面所做的工作！</strong></p>
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                <h3><br>视频资源</br></h3>
                <p><a href="https://www.bilibili.com/video/BV1V54y1B7K3/"> [全部视频点击此处]</a>
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                <h3>课程资源</h3>
                <p style="padding-bottom: 30px"><strong>若Github链接打不开，请使用Gitee或蓝奏云入口下载资源</strong></p>
                <p style="padding-bottom: 0"><strong>Github：&emsp;</strong><a href="https://github.com/CV-xueba/A02_cvclass_cv-dl"> [课件]&nbsp;&nbsp;</a><a
                        href="https://github.com/CV-xueba/A02_cvclass_cv-dl_exercise"> [作业]</a></p>
                <p style="padding-bottom: 0"><strong>Gitee：&emsp;</strong><a href="https://gitee.com/cv-xueba/A02_cvclass_cv-dl"> [课件]&nbsp;&nbsp;</a><a
                        href="https://gitee.com/cv-xueba/A01_cvclass_basic_exercise"> [作业]</a></p>
                <p><strong>蓝奏云：&emsp;</strong><a href="https://wwb.lanzoul.com/b01nn857i"> [课件]&nbsp;&nbsp;</a><a
                        href="https://wwe.lanzoui.com/b01nnar2h"> [作业(敬请期待)]&nbsp;&nbsp;</a><a href="https://wwb.lanzoul.com/iXoEd076dj7i">[课件打包]&nbsp;&nbsp;</a></p>
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                        <tr>
                            <th>任务点</th>
                            <th>摘要</th>
                            <th>资料下载</th>
                        </tr>
                        </thead>
                        <tbody>
                        <tr>
                            <td><b>01.课程引言</b></td>
                            <td>计算机视觉与深度学习
                            </td>
                            <td>
                                <a href="https://raw.githubusercontent.com/CV-xueba/A02_cvclass_cv-dl/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/01_%E5%89%8D%E8%A8%80.pdf">[课件(Github)]</a>
                                <a href="https://gitee.com/cv-xueba/A02_cvclass_cv-dl/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/01_%E5%89%8D%E8%A8%80.pdf">[课件(Gitee)]</a>
                                <a href="https://wwe.lanzoui.com/iQ8Wpguco6d">[课件(蓝奏)]</a>
                            </td>
                        </tr>
                        <tr>
                            <td><b>02.分类任务与线性分类器</b></td>
                            <td>图像分类任务，线性分类器，损失函数与多类支撑向量机损失，优化算法，数据集划分与数据预处理</td>
                            <td>
                                <a href="https://raw.githubusercontent.com/CV-xueba/A02_cvclass_cv-dl/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/02_%E5%9B%BE%E5%83%8F%E5%88%86%E7%B1%BB%E4%BB%BB%E5%8A%A1.pdf">[课件1(Github)]</a>
                                <a href="https://raw.githubusercontent.com/CV-xueba/A02_cvclass_cv-dl/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/02-03_%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB%E5%99%A8.pdf">[课件2(Github)]</a>
                                <a href="https://gitee.com/cv-xueba/A02_cvclass_cv-dl/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/02_%E5%9B%BE%E5%83%8F%E5%88%86%E7%B1%BB%E4%BB%BB%E5%8A%A1.pdf">[课件1(Gitee)]</a>
                                <a href="https://gitee.com/cv-xueba/A02_cvclass_cv-dl/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/02-03_%E7%BA%BF%E6%80%A7%E5%88%86%E7%B1%BB%E5%99%A8.pdf">[课件2(Gitee)]</a>
                                <a href="https://wwe.lanzoui.com/im5wfguco7e">[课件1(蓝奏)]</a>
                                <a href="https://wwe.lanzoui.com/iGYLLgucnij">[课件2(蓝奏)]</a>

                            </td>
                        </tr>
                        <tr>
                            <td><b>03.全连接神经网络</b></td>
                            <td>全连接神经网络，交叉熵损失，梯度反向传递，动量法、自适应梯度与Adam，全连接神经网络设计指南，权值初始化，批归一化，过拟合与Dropout，超参数优化</td>
                            <td>
                                <a href="https://raw.githubusercontent.com/CV-xueba/A02_cvclass_cv-dl/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/04-06_%E5%85%A8%E8%BF%9E%E6%8E%A5%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C.pdf">[课件(Github)]</a>
                                <a href="https://gitee.com/cv-xueba/A02_cvclass_cv-dl/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/04-06_%E5%85%A8%E8%BF%9E%E6%8E%A5%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C.pdf">[课件(Gitee)]</a>
                                <a href="https://wwe.lanzoui.com/iCGIXgucnja">[课件(蓝奏)]</a>
                            </td>
                        </tr>
                        <tr>
                            <td><b>04.卷积、图像去噪、边缘提取、纹理表示</b></td>
                            <td>卷积、图像去噪、边缘提取Canny算子、纹理表示等</td>
                            <td>
                                <a href="https://raw.githubusercontent.com/CV-xueba/A02_cvclass_cv-dl/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/07-08_%E5%8D%B7%E7%A7%AF%26%E5%9B%BE%E5%83%8F%E5%8E%BB%E5%99%AA%26%E8%BE%B9%E7%BC%98%E6%8F%90%E5%8F%96%26%E7%BA%B9%E7%90%86%E8%A1%A8%E7%A4%BA.pdf">[课件(Github)]</a>
                                <a href="https://gitee.com/cv-xueba/A02_cvclass_cv-dl/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/07-08_%E5%8D%B7%E7%A7%AF&%E5%9B%BE%E5%83%8F%E5%8E%BB%E5%99%AA&%E8%BE%B9%E7%BC%98%E6%8F%90%E5%8F%96&%E7%BA%B9%E7%90%86%E8%A1%A8%E7%A4%BA.pdf">[课件(Gitee)]</a>
                                <a href="https://wwe.lanzoui.com/it9xJgucnmd">[课件(蓝奏)]</a>
                            </td>
                        </tr>
                        <tr>
                            <td><b>05.卷积神经网络</b></td>
                            <td>卷积神经网络的结构、操作、样本增强方法等</td>
                            <td>
                                <a href="https://raw.githubusercontent.com/CV-xueba/A02_cvclass_cv-dl/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/08_%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C.pdf">[课件(Github)]</a>
                                <a href="https://gitee.com/cv-xueba/A02_cvclass_cv-dl/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/08_%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C.pdf">[课件(Gitee)]</a>
                                <a href="https://wwe.lanzoui.com/iCYQMgucnne">[课件(蓝奏)]</a>
                            </td>
                        </tr>
                        <tr>
                            <td><b>06.经典网络分析</b></td>
                            <td>AlexNet,ZFNet,VGG,GoogleNet,ResNet</td>
                            <td>
                                <a href="https://raw.githubusercontent.com/CV-xueba/A02_cvclass_cv-dl/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/09-10_%E7%BB%8F%E5%85%B8%E7%BD%91%E7%BB%9C%E8%A7%A3%E6%9E%90.pdf">[课件(Github)]</a>
                                <a href="https://gitee.com/cv-xueba/A02_cvclass_cv-dl/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/09-10_%E7%BB%8F%E5%85%B8%E7%BD%91%E7%BB%9C%E8%A7%A3%E6%9E%90.pdf">[课件(Gitee)]</a>
                                <a href="https://wwe.lanzoui.com/igB6Ygucnof">[课件(蓝奏)]</a>
                            </td>
                        </tr>
                        <tr>
                            <td><b>07.图像分割与目标检测</b></td>
                            <td>语义分割任务、语义分割思路方法、目标检测任务、目标检测思路方法</td>
                            <td>
                                <a href="https://raw.githubusercontent.com/CV-xueba/A02_cvclass_cv-dl/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/10-11_%E5%9B%BE%E5%83%8F%E5%88%86%E5%89%B2%26%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B.pdf">[课件(Github)]</a>
                                <a href="https://gitee.com/cv-xueba/A02_cvclass_cv-dl/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/10-11_%E5%9B%BE%E5%83%8F%E5%88%86%E5%89%B2&%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B.pdf">[课件(Gitee)]</a>
                                <a href="https://wwe.lanzoui.com/iHPjpgucnqh">[课件(蓝奏)]</a>
                            </td>
                        </tr>
                        <tr>
                            <td><b>08.网络可视化</b></td>
                            <td>神经网络的可视化与理解</td>
                            <td>
                                <a href="https://raw.githubusercontent.com/CV-xueba/A02_cvclass_cv-dl/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/12_%E5%8F%AF%E8%A7%86%E5%8C%96.pdf">[课件(Github)]</a>
                                <a href="https://gitee.com/cv-xueba/A02_cvclass_cv-dl/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/12_%E5%8F%AF%E8%A7%86%E5%8C%96.pdf">[课件(Gitee)]</a>
                                <a href="https://wwe.lanzoui.com/iZ8Jfgucnyf">[课件(蓝奏)]</a>
                            </td>
                        </tr>
                        <tr>
                            <td><b>09.生成模型</b></td>
                            <td>GAN、VAE、GAN经典论文分析</td>
                            <td>
                                <a href="https://raw.githubusercontent.com/CV-xueba/A02_cvclass_cv-dl/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/13-14_%E7%94%9F%E6%88%90%E6%A8%A1%E5%9E%8B.pdf">[课件(Github)]</a>
                                <a href="https://gitee.com/cv-xueba/A02_cvclass_cv-dl/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/13-14_%E7%94%9F%E6%88%90%E6%A8%A1%E5%9E%8B.pdf">[课件(Gitee)]</a>
                                <a href="https://wwe.lanzoui.com/i605Bguco2j">[课件(蓝奏)]</a>
                            </td>
                        </tr>
                        <tr>
                            <td><b>10.循环神经网络与注意力机制</b></td>
                            <td>循环神经网络与注意力机制</td>
                            <td>
                                <a href="https://raw.githubusercontent.com/CV-xueba/A02_cvclass_cv-dl/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/16_%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E4%B8%8E%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6.pdf">[课件(Github)]</a>
                                <a href="https://gitee.com/cv-xueba/A02_cvclass_cv-dl/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/16_%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E4%B8%8E%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6.pdf">[课件(Gitee)]</a>
                                <a href="https://wwb.lanzoul.com/im2Up076demd">[课件(蓝奏)]</a>
                            </td>
                        </tr>
                        <tr>
                            <td><b>11.Transformer</b></td>
                            <td>Transformer</td>
                            <td>
                                <a href="https://raw.githubusercontent.com/CV-xueba/A02_cvclass_cv-dl/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/17_Transformer.pdf">[课件(Github)]</a>
                                <a href="https://gitee.com/cv-xueba/A02_cvclass_cv-dl/raw/master/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89%E4%B8%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0_%E8%AF%BE%E4%BB%B6/17_Transformer.pdf">[课件(Gitee)]</a>
                                <a href="https://wwb.lanzoul.com/iBRJL076deta">[课件(蓝奏)]</a>
                            </td>
                        </tr>
                        <tr class="table-active"> <!--作业这里可以变个颜色，更容易划分，采用class=active(灰色）的形式-->
                            <td><b>作业</b></td>
                            <td>该课程作业待发布，请稍候……</td>
                            <td>
                                <a href="https://github.com/CV-xueba/A02_cvclass_cv-dl_exercise">[作业(Github)]</a>
                                <a href="https://gitee.com/cv-xueba/A02_cvclass_cv-dl_exercise">[作业(Gitee)]</a>
                            </td>
                        </tr>
                         <tr class="table-active"> <!--作业这里可以变个颜色，更容易划分，采用class=active(灰色）的形式-->
                            <td><b>书籍推荐</b></td>
                            <td>1. Deep Learning (花书）by Ian Goodfellow/Yoshua Bengio,人民邮电出版社,2017<br>2. Python深度学习（Deep Learning with Python),François Chollet, 张亮译,人民邮电出版社,2018<br>
                            3. 深度学习与计算机视觉：算法原理、框架应用与代码实现，机械工业出版社，2017</td>
                        </tr>
                        </tbody>
                    </table>
                </div>
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